About | HeinOnline Law Journal Library | HeinOnline Law Journal Library | HeinOnline
LOG IN
LOG IN

13 Contemp. Readings L. & Soc. Just. 9 (2021)

handle is hein.journals/conreadlsj13 and id is 1 raw text is: Contemporary Readings in Law and Social Justice 13(1), 2021 pp. 9-19, ISSN 1948-9137, eISSN 2162-2752 Autonomous Vehicle Decision-M aking Algorithms and Data-driven M obilities in Networked Transport Systems Edward Taylor edward.taylor@aa-er.org The Institute of Smart Big Data Analytics, New York City, NY, USA ABSTRACT. This article presents an empirical study carried out to evaluate and analyze autonomous vehicle decision-making algorithms and data-driven mobilities in networked transport systems. Building my argument by drawing on data collected from AAA, Accenture, ANSYS, APA, Atomik Research, AUVSI, BikePGH, Black & Veatch, Brookings, CARiD, eMarketer, MRCagney, Perkins Coie, and Pew Research Center, I performed analyses and made estimates regarding Internet of Things- assisted smart logistics transportation. Data collected from 5,400 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. Keywords: networked transport system; autonomous vehicle; data-driven mobility How to cite: Taylor, E. (2021). Autonomous Vehicle Decision-Making Algorithms and Data- driven Mobilities in Networked Transport Systems, Contemporary Readings in Law and Social Justice 13(1): 9-19. doi: 10.22381/CRLSJ13120211. Received 12 March 2021 - Received in revised form 10 July 2021 Accepted 13 July 2021 - Available online 15 July 2021 1. Introduction A significant volume of the accidents entailing self-driving cars are not generated by the performance of autonomous vehicle algorithms, but as a result of human intervention, because the operating behavior of self-driving cars was not adequately grasped by human drivers. (Qi et al., 2021) Through- out the environment perception phase of autonomous driving, cars should track their surrounding objects swiftly and precisely to prevent dangerous behaviors. (Chen et al., 2021) Self-driving car technology is designed to substitute standard transportation systems further than energy conservation, pollution monitoring, crash prevention, etc. (Amudha, 2021) 9

What Is HeinOnline?

HeinOnline is a subscription-based resource containing thousands of academic and legal journals from inception; complete coverage of government documents such as U.S. Statutes at Large, U.S. Code, Federal Register, Code of Federal Regulations, U.S. Reports, and much more. Documents are image-based, fully searchable PDFs with the authority of print combined with the accessibility of a user-friendly and powerful database. For more information, request a quote or trial for your organization below.



Short-term subscription options include 24 hours, 48 hours, or 1 week to HeinOnline.

Purchase Access

Contact us for annual subscription options:

Contact Us

Already a HeinOnline Subscriber?

Log In

profiles profiles most